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Xiao Liu
Xiao Liu
Huawei
在 ed.ac.uk 的电子邮件经过验证 - 首页
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Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge
VM Campello, P Gkontra, C Izquierdo, C Martin-Isla, A Sojoudi, PM Full, ...
IEEE Transactions on Medical Imaging 40 (12), 3543-3554, 2021
3102021
Learning disentangled representations in the imaging domain
X Liu, P Sanchez, S Thermos, AQ O’Neil, SA Tsaftaris
Medical Image Analysis 80, 102516, 2022
782022
What is healthy? generative counterfactual diffusion for lesion localization
P Sanchez, A Kascenas, X Liu, AQ O’Neil, SA Tsaftaris
MICCAI Workshop on Deep Generative Models, 34-44, 2022
522022
Semi-supervised meta-learning with disentanglement for domain-generalised medical image segmentation
X Liu, S Thermos, A O’Neil, SA Tsaftaris
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
492021
Diffusion Models for Causal Discovery via Topological Ordering
P Sanchez, X Liu, AQ O'Neil, SA Tsaftaris
arXiv preprint arXiv:2210.06201, 2022
302022
Metrics for exposing the biases of content-style disentanglement
X Liu, S Thermos, G Valvano, A Chartsias, A O’Neil, SA Tsaftaris
The 32nd British Machine Vision Conference, 2021
24*2021
Have you forgotten? A method to assess if machine learning models have forgotten data
X Liu, SA Tsaftaris
23rd International Conference on Medical Image Computing and Computer …, 2020
232020
Disentangled Representations for Domain-generalized Cardiac Segmentation
X Liu, S Thermos, A Chartsias, A O'Neil, SA Tsaftaris
11th Workshop on Statistical Atlases and Computational Modelling of the Heart, 2020
192020
Controllable cardiac synthesis via disentangled anatomy arithmetic
S Thermos, X Liu, A O’Neil, SA Tsaftaris
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
142021
vMFNet: Compositionality Meets Domain-Generalised Segmentation
X Liu, S Thermos, P Sanchez, AQ O’Neil, SA Tsaftaris
International Conference on Medical Image Computing and Computer-Assisted …, 2022
112022
Cardiac aging synthesis from cross-sectional data with conditional generative adversarial networks
VM Campello, T Xia, X Liu, P Sanchez, C Martín-Isla, SE Petersen, ...
Frontiers in Cardiovascular Medicine, 2693, 2022
112022
Random decision dag: An entropy based compression approach for random forest
X Liu, X Liu, Y Lai, F Yang, Y Zeng
International Conference on Database Systems for Advanced Applications, 319-323, 2019
72019
Why patient data cannot be easily forgotten?
R Su, X Liu, SA Tsaftaris
International Conference on Medical Image Computing and Computer-Assisted …, 2022
42022
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information
X Liu, S Thermos, P Sanchez, AQ O’Neil, SA Tsaftaris
MICCAI Workshop on Medical Applications with Disentanglements, 15-21, 2022
32022
Group Distributionally Robust Knowledge Distillation
K Vilouras, X Liu, P Sanchez, AQ O’Neil, SA Tsaftaris
International Workshop on Machine Learning in Medical Imaging, 234-242, 2023
22023
Cerfgan: A compact, effective, robust, and fast model for unsupervised multi-domain image-to-image translation
X Liu, S Zhang, H Liu, X Liu, C Deng, R Ji
arXiv preprint arXiv:1805.10871, 2018
22018
Compositionally equivariant representation learning
X Liu, P Sanchez, S Thermos, AQ O’Neil, SA Tsaftaris
IEEE Transactions on Medical Imaging, 2024
12024
Compositional Representation Learning for Brain Tumour Segmentation
X Liu, A Kascenas, H Watson, SA Tsaftaris, AQ O’Neil
MICCAI Workshop on Domain Adaptation and Representation Transfer, 41-51, 2023
12023
Less is More: Unified Model for Unsupervised Multi-Domain Image-to-Image Translation
X Liu, S Zhang, H Liu, X Liu, R Ji
CoRR, 2018
12018
Representation learning for generalisation in medical image analysis
X Liu
The University of Edinburgh, 2023
2023
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